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TextRazor
6 tools · Artificial Intelligence · AI Document Extraction
TextRazor is a natural language processing API that extracts meaning, entities, and relationships from text, powering advanced content analysis and sentiment detection
Connect TextRazor
- Open Slashspace and go to Settings, then Connectors.
- On Discover, search for TextRazor and click Connect.
- Sign in to TextRazor in your browser. Slashspace updates when the account is connected.
- Then ask for what you need in any Agent mode chat. TextRazor is on in every chat unless you switch it off.
What your chats can do
6 tools from TextRazor.
- Get Account InformationThis tool retrieves comprehensive information about a TextRazor account, providing essential details about the account's status, usage, and limits. It returns an Account object containing properties such as the current subscription plan, concurrent request limits, and daily usage among others, making it crucial for monitoring API usage, managing requests, and ensuring compliance with subscription limits.
- Classify TextThis tool will classify text into predefined categories using TextRazor's classification capabilities. It takes input text, optional cleanup mode and language, and returns a list of relevant categories with their confidence scores from the analysis. The tool supports various built-in classifiers including: - textrazor_iab: IAB QAG segments - textrazor_iab_content_taxonomy_3.0: IAB Content Taxonomy v3.0 (2022) - textrazor_mediatopics_2023Q1: Latest IPTC Media Topics (March 2023) - And other versions of these taxonomies
- Manage Custom ClassifiersThis tool manages custom classifiers in TextRazor, allowing users to create, update, and manage custom classification categories.
- Dictionary ManagerManage custom entity dictionaries in TextRazor for enhanced named entity recognition. This tool enables you to create and manage dictionaries of domain-specific entities (e.g., product names, company names, technical terms) that TextRazor will recognize in text analysis. Operations include: - Creating new dictionaries with configurable matching rules - Listing all available dictionaries - Retrieving dictionary details and configuration - Deleting dictionaries - Adding, retrieving, and removing dictionary entries Note: Dictionaries created here can be used in text analysis by specifying their IDs in the 'entityDictionaries' parameter of TextRazor analysis requests.
